Refinement and validation of a comprehensive scale for measuring HR practices aimed at performance-enhancement and employee-support

The purpose of this paper is to refine and validate a Human Resource practices (HRP) scale to measure employees' perceptions and test a two-tier model structured in eight practices and two bundles. In a sample of 554 employees, an EFA (Exploratory Factor Analysis) offered six factors that explained about 70% of the variance. Then, with 1647 employees (from 41 Spanish organizations), first- and second-order models were tested with Confirmatory Factor Analysis (CFA). The former encompasses eight practices. The latter grouped the practices in two bundles, one on enhancing performance and the other on supporting employees. The Cronbach's alpha, Rho coefficient (Composite Reliability Coefficient), Omega coefficient, and Spearman-Brown split half coefficient showed good reliability. Validity evidence was found for construct, criterion, convergent, content, discriminant, and predictive validity. Moreover, the paper integrates different ways of approaching the study of HR management based on employees' perceptions, using a two-tier approach. The two-bundle model showed better fit, pointing out the importance of paying attention to multiple outcomes for employees and organizations. The study makes a relevant theoretical contribution about the role and aims of HRM practices for organizational success and employees' performance and well-being.     

Coalition for a Healthier Community: Lessons learned and implications for future work

The Coalition for a Healthier Community (CHC) initiative was implemented to improve the health and well-being of women and girls. Underpinning CHC is a gender-based focus that uses a network of community partners working collaboratively to generate relevant behavior change and improved health outcomes. Ten programs are trying to determine whether gender-focused system approaches are cost-effective ways to address health disparities in women and girls. Programs implemented through coalitions made up of academic institutions, public health departments, community-based organizations, and local, regional, and national organizations, are addressing health issues such as domestic violence, cardiovascular disease prevention, physical activity, and healthy eating. Although these programs are ongoing, they have made significant progress. Key factors contributing to their early success include a comprehensive needs assessment, robust coalitions, the diversity of populations targeted, programs based on findings of the needs assessments, evaluations taking into consideration the effect of gender, and strong academic–community partnerships. A noteworthy impact of these programs has been their ability to shape and impact public, social, and health policies at the state and local levels. However, there have been challenges associated with the implementation of such a complex program. Lessons learned are discussed in this paper.     

Validation of the Australian Midwifery Standards Assessment Tool (AMSAT): A tool to assess midwifery competence

Background

There is no current validated clinical assessment tool to measure the attainment of midwifery student competence in the midwifery practice setting. The lack of a valid assessment tool has led to a proliferation of tools and inconsistency in assessment of, and feedback on student learning.

A New Methodology for Before–After Safety Assessment Using Survival Analysis and Longitudinal Data

The widely used empirical Bayes (EB) and full Bayes (FB) methods for before–after safety assessment are sometimes limited because of the extensive data needs from additional reference sites. To address this issue, this study proposes a novel before–after safety evaluation methodology based on survival analysis and longitudinal data as an alternative to the EB/FB method. A Bayesian survival analysis (SARE) model with a random effect term to address the unobserved heterogeneity across sites is developed. The proposed survival analysis method is validated through a simulation study before its application. Subsequently, the SARE model is developed in a case study to evaluate the safety effectiveness of a recent red‐light‐running photo enforcement program in New Jersey. As demonstrated in the simulation and the case study, the survival analysis can provide valid estimates using only data from treated sites, and thus its results will not be affected by the selection of defective or insufficient reference sites. In addition, the proposed approach can take into account the censored data generated due to the transition from the before period to the after period, which has not been previously explored in the literature. Using individual crashes as units of analysis, survival analysis can incorporate longitudinal covariates such as the traffic volume and weather variation, and thus can explicitly account for the potential temporal heterogeneity.     

对新课程实施中学生评价方法的哲学思考——标准化考试与档案袋评定的整合

评价既可能成为课程改革的动力 ,也可能成为其实施的障碍 ,它是课程改革成败的关键。为使基础教育课程改革达到预期目的 ,必须将评价改革作为课程改革的一个重要部分 ,探索出与新课程理念相一致的评价方法。目前国外较为流行的评价学生的方法是档案袋评定 ,这种评价理念与我国的新课程理念相一致 ,它强调学生参与 ,注重学生发展。然而档案袋评定能够作为标准化考试的替代评价法吗 ?笔者从不同哲学观进行分析 ,最后得到结论 :档案袋评定和标准化考试是看似对立、实质互补的两种评价方法 ,教师在实际评价中必须将两种方法结合运用     

企业家素质量化评价方法的研究

首先概括了企业家素质的重要作用和企业家素质对企业能力的重要影响 ,在此基础上提出在评价企业家素质时企业家素质与企业能力的重要关联性 ,然后提出了一种以企业家素质对企业能力的影响为考核对象的企业家素质评价方法     

浅析电子商务中的信息安全风险评估

本文结合电子商务自身特点,从对信息资产风险对象的确定、风险评估方法选择、评估的具体指标评价和结果的分析后,确定信息资产的风险控制策略。同时从投入与收益的比较选择中,简单分析控制措施选择与成本预算方面的关系。     

政府绩效评估与企业绩效评估比较及借鉴意义

政府部门与企业同属社会公共组织,两者的绩效评估具有可比性。政府绩效评估和企业绩效评估可以相互借鉴:政府绩效评估可以借鉴企业绩效评估的评估技术、价值导向、评估方法;政府绩效评估可以引导企业绩效评估关注企业的社会责任。     

全力支持河套大学人才培养水平评估 构建巴彦淖尔完善的国民教育体系

10月份,教育部将组织专家组对河套大学进行人才培养工作水平评估,对河套大学而言,这既是机遇也是挑战。经过21年的发展,河套大学取得了可喜的成绩。通过这次评估,河套大学要理清思路、深化改革,认真整改,迈向新高。教育行政部门大力支持对河套大学人才培养水平评估,支持河套大学的发展。     

Low dose risk estimation via simultaneous statistical inferences

Summary.  The paper develops and studies simultaneous confidence bounds that are useful for making low dose inferences in quantitative risk analysis. Application is intended for risk assessment studies where human, animal or ecological data are used to set safe low dose levels of a toxic agent, but where study information is limited to high dose levels of the agent. Methods are derived for estimating simultaneous, one-sided, upper confidence limits on risk for end points measured on a continuous scale. From the simultaneous confidence bounds, lower confidence limits on the dose that is associated with a particular risk (often referred to as a bench-mark dose ) are calculated. An important feature of the simultaneous construction is that any inferences that are based on inverting the simultaneous confidence bounds apply automatically to inverse bounds on the bench-mark dose.